The Global AI TRUST STANDARD™
Measuring
how artificial intelligence perceives, interprets,
and ultimately recommends organizations.
Why this matters now
Artificial
intelligence systems are becoming the default layer of trust and
recommendation.
Yet, there is currently no neutral, cross-model standard capable of measuring
how organizations are perceived, validated, and recommended by AI.
Standard & Trust is building that standard — before AI perception becomes opaque, fragmented, and irreversible.
Early
research enrollment
Standard & Trust is currently inviting a limited number of Companies to take part in the early research phase.. If you are interested in understanding how artificial intelligence perceives your organization — and in contributing to the development of a global trust standard — you may request participation below.
What Standard & Trust is
Standard & Trust is an independent research initiative focused on defining a standardized framework for evaluating organizational credibility through the lens of artificial intelligence.
Rather than optimizing for visibility or performance, Standard & Trust measures how AI systems interpret, validate, and contextualize organizations across the digital landscape.
This work
aims to establish a neutral reference point for AI-driven trust evaluation expressed with the AI Trust Standard™ rating
What we measure
Standard & Trust evaluates organizational credibility across four foundational dimensions of AI trust:
•
Identifiability
• Verifiability
• Informational Authority
• Contextual Alignment
Together, these dimensions form the basis of the AI Trust Standard™, a structured measurement of how AI systems recognize and assess organizations.
Why this is different
Standard & Trust does not provide optimization services, rankings, or competitive scoring.
It exists to define and measure a neutral, reproducible standard — independent of marketing tactics, advertising spend, or platform-specific optimization.
The goal is not to influence AI systems, but to understand how they currently operate.
Selection Process
Participation is not first-come, first-served.
Company are selected based on relevance, sector representation, and contribution to the development of a meaningful AI trust standard.
What selected Companies receive
Organizations selected for early participation will receive:
• A
structured AI Trust Assessment snapshot
• Cross-model AI perception insights (non-comparative)
• Early access to the evolving SemanticAI Trust framework
• Priority consideration for future research phases
Participation is research-oriented and non-promotional.
Our Method,
Our Team
SemanticAI operates through a European-led research structure combining AI perception analysis, semantic modeling, and independent evaluation methodologies.
The initiative is designed to remain neutral, methodologically rigorous, and independent from commercial optimization activities.
Our Team of highly skilled professionals works on a daily basis with all the Group's resources to examine, assess and ultimately determine your AI Trust Standard™
